NeuralTrust
What is NeuralTrust?
NeuralTrust is an enterprise AI security platform for teams that need centralized control over agent behavior and access. It discovers agents, enforces policies, and monitors risky behavior in real time with Prompt Guard, Behavioral Threat Detection, Sensitive Data Masking, and a Moderation & Policy Engine. It integrates with LangChain, CrewAI, AutoGen, and internal frameworks, and is used by Sabadell, Iberia, ABANCA, and NTT DATA.
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At a glance
- NeuralTrust is best for enterprise AI teams that need centralized control over agent behavior and access.
- Yes — The agent security stack is orchestration-agnostic with plugin support and flexible APIs for LangChain, CrewAI, AutoGen, and internal frameworks.
What does NeuralTrust do?
NeuralTrust controls how AI agents behave from prompt input to tool execution, using a centralized security layer that discovers agents, enforces policies, and watches for risky behavior in real time. Its runtime stack combines Prompt Guard, Behavioral Threat Detection, Sensitive Data Masking, and a Moderation & Policy Engine to filter inputs, block unsafe actions, and keep GenAI workflows within policy. At scale, the platform is built for enterprise environments: it has blocked 3M+ attacks, monitored 1000+ AI applications, analyzed 22M+ AI interactions, and scanned 1.7M+ models. NeuralTrust also supports 20,000 requests per second per node, <10ms prompt guard latency, and 99% multilingual detection. Customers including Sabadell, Iberia, ABANCA, ISDIN, Air Europa, Capgemini, NTT DATA, Devoteam, and Bentego use it, and the stack is orchestration-agnostic with plugin support plus flexible APIs for LangChain, CrewAI, AutoGen, and internal frameworks.
Why use NeuralTrust?
- It combines runtime protection and agent governance, so teams can secure both prompts and tool use from one control layer.
- The control plane and data plane separation supports VPC or on-prem deployment without sending customer content out of your environment.
- Orchestration-agnostic APIs and plugin support let teams plug into LangChain, CrewAI, AutoGen, or internal frameworks.
- Its scale metrics show it can handle high-volume production traffic with low-latency enforcement.
- Built-in tracing, alerting, and red teaming help teams investigate behavior instead of only blocking it.
Who is NeuralTrust for?
- Security teams who need centralized policy enforcement across AI apps and agents.
- Platform engineers who want to monitor agent tools and access in one place.
- Compliance teams who need audit-ready controls and evidence for AI governance.
- AI product teams who need to mask sensitive data and reduce risky outputs.
- MLOps teams who need runtime protection across multiple agent frameworks.
What are NeuralTrust's key features?
Prompt Guard
Filters prompts in real time with <10ms latency, blocking prompt injection and jailbreak attempts before they reach your model or agent.
Behavioral Threat Detection
Analyzes 22M+ AI interactions to spot suspicious agent behavior and attack patterns, helping teams catch abuse that static rules miss.
Sensitive Data Masking
Redacts sensitive fields before they leave your stack, supporting privacy control for ChatGPT, OpenAI, Anthropic, and Mistral workflows.
Moderation & Policy Engine
Applies custom moderation rules across AI inputs and outputs, with policy controls that support AI compliance and audit-ready enforcement.
AI Gateway
Routes LLM traffic through a single control point for LangChain, CrewAI, AutoGen, and internal frameworks, simplifying security and governance.
MCP Gateway
Secures MCP traffic with gateway controls for agent tools and workflows, giving teams a central place to inspect and govern tool access.
Red Teaming
Runs automated red teaming against 150+ attack catalogue entries and 100+ attack types, helping teams test defenses before deployment.
Alerting & Monitoring
Sends real-time security alerts and monitoring signals into SIEMs, Splunk, and Prometheus so teams can respond quickly to incidents.
What does NeuralTrust integrate with?
- SIEM
- ChatGPT
- Microsoft
- Google Gemini
- Cursor
- Claude Code
- LangChain
- CrewAI
- AutoGen
- SIEMs
- Splunk
- Prometheus
- OpenAI
- Anthropic
- Mistral
What are NeuralTrust's use cases?
Security teams enforce AI policy
Security teams who need centralized policy enforcement across AI apps and agents use NeuralTrust to control risky prompts and outputs in one place. They rely on Moderation & Policy Engine and Prompt Guard to block unsafe requests before they reach models, while Alerting & Monitoring surfaces incidents for faster response.
Platform engineers monitor agent access
Platform engineers who want to monitor agent tools and access in one place use NeuralTrust to sit between frameworks and model providers. With AI Gateway and MCP Gateway, they can route requests from LangChain, CrewAI, or AutoGen, then use Tracing & Analytics to see what each agent did.
Compliance teams gather evidence
Compliance teams who need audit-ready controls and evidence for AI governance use NeuralTrust to document decisions and policy enforcement. They combine Evidence & Controls with AI Compliance and Framework Mapping to produce reviewable records, making audits easier without chasing logs across multiple systems.
AI product teams mask sensitive data
AI product teams who need to mask sensitive data and reduce risky outputs use NeuralTrust to protect user-facing assistants before launch. Sensitive Data Masking removes personal or confidential fields, while Behavioral Threat Detection and Red Teaming help catch prompt abuse and unsafe behavior early.
How does NeuralTrust work?
- Connect your first AI app or agent through AI Gateway or MCP Gateway, then point requests from LangChain, CrewAI, AutoGen, or internal frameworks into NeuralTrust.
- Define policies in Moderation & Policy Engine and Prompt Guard to block unsafe prompts, risky outputs, and disallowed agent actions before they reach downstream systems.
- Turn on Sensitive Data Masking and Behavioral Threat Detection to redact confidential fields, spot abuse patterns, and keep agent interactions within approved boundaries.
- Review Tracing & Analytics and Alerting & Monitoring to inspect incidents, follow agent decisions, and respond quickly when a policy or security rule is triggered.
- Use Evidence & Controls, AI Compliance, and Framework Mapping to export audit-ready records, prove governance coverage, and keep protections consistent as your stack grows.
Frequently asked questions
What is NeuralTrust?
NeuralTrust is an enterprise AI security platform for teams that need centralized control over agent behavior and access. It discovers agents, enforces policies, and monitors risky behavior in real time with Prompt Guard, Behavioral Threat Detection, Sensitive Data Masking, and a Moderation & Policy Engine. It integrates with LangChain, CrewAI, AutoGen, and internal frameworks, and is used by Sabadell, Iberia, ABANCA, and NTT DATA.
What is NeuralTrust used for? Who is it for?
NeuralTrust is used for Prompt Guard, Behavioral Threat Detection, and Sensitive Data Masking. It's built for Security teams, Platform engineers, and Compliance teams.
Does NeuralTrust have an API and what does it integrate with?
The agent security stack is orchestration-agnostic with plugin support and flexible APIs for LangChain, CrewAI, AutoGen, and internal frameworks. It integrates with SIEM, ChatGPT, Microsoft, Google Gemini, Cursor, and 10 more.
Editor's read
Check whether your agent stack needs orchestration-agnostic coverage across LangChain, CrewAI, AutoGen, or internal frameworks. Also verify that your deployment plan matches the platform's VPC or on-prem separation model before rollout.
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